Tech Xplore on MSN

Upsampling method sharpens AI vision with up to 16 times less GPU memory

From facial recognition on smartphones to humanoid robots, computer vision technology, which serves as the eyes of artificial ...
Nasdaq

Fujitsu launches AI computing broker middleware to address global GPU shortages and enhance AI processing efficiency

TOKYO, Oct 22, 2024 - (JCN Newswire) - - Fujitsu today announced the launch of an AI computing broker middleware technology designed to enhance GPU computational efficiency in AI processing and ...
Nature

PIM GPT a hybrid process in memory accelerator for autoregressive transformers

Decoder-only Transformer models such as Generative Pre-trained Transformers (GPT) have demonstrated exceptional performance in text generation by autoregressively predicting the next token. However, ...
Nature

Analog in-memory computing attention mechanism for fast and energy-efficient large language models

Transformer networks, driven by self-attention, are central to large language models. In generative transformers, self-attention uses cache memory to store token projections, avoiding recomputation at ...
Semiconductor Engineering

AI Memory: Enabling The Next Era Of High-Performance Computing

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...
Forbes

Graphics Processing Units: From Pixels To Parameters

Shashank is the Chief AI Officer at MooresLab AI, where he helps chip companies leverage Agentic AI to accelerate silicon engineering tasks. From training large language models with hundreds of ...
VentureBeat

DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed for complex reasoning — just to access static ...